Dark Matter Mapping Using Smoothed Particle Models

Mathematics – Logic

Scientific paper

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Scientific paper

The ability to measure the mass and structure of dark matter distributions via weak lensing will be indispensable in the future search to understand dark energy and the cosmological evolution of large scale structure. Here we present a new method for mapping dark matter around clusters of galaxies. This method supposes smoothed particles of dark matter between the background galaxies and the observer and perturbs the ellipticities of those background galaxies according to the given geometry. Then the ellipticites of these background galaxies are compared iteratively with the observed ellipticites and fit using a four dimensional Markov Chain Monte Carlo. Thus, we fit a dark matter distribution in position on the sky as well and in redshift and mass. This provides method for mapping dark matter distributions over large scale surveys, and thus reveal weak lensing selected clusters, dark matter scaffolding, and possibly fundamentals of dark energy.

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